
__init__(self,
input_dim=None,
output_dim=None,
dtype=None,
svd=False,
reduce=False,
var_rel=1e12,
var_abs=1e15,
var_part=None)
The number of principal components to be kept can be specified as
'output_dim' directly (e.g. 'output_dim=10' means 10 components
are kept) or by the fraction of variance to be explained
(e.g. 'output_dim=0.95' means that as many components as necessary
will be kept in order to explain 95% of the input variance). 







_execute(self,
x,
n=None)
Project the input on the first 'n' principal components.
If 'n' is not set, use all available components. 



_inverse(self,
y,
n=None)
Project 'y' to the input space using the first 'n' components.
If 'n' is not set, use all available components. 









execute(self,
x,
n=None)
Project the input on the first 'n' principal components.
If 'n' is not set, use all available components. 



get_explained_variance(self)
Return the fraction of the original variance that can be
explained by self._output_dim PCA components.
If for example output_dim has been set to 0.95, the explained
variance could be something like 0.958...
Note that if output_dim was explicitly set to be a fixed number
of components, there is no way to calculate the explained variance. 





get_recmatrix(self,
transposed=1)
Return the backprojection matrix (i.e. the reconstruction matrix). 



inverse(self,
y,
n=None)
Project 'y' to the input space using the first 'n' components.
If 'n' is not set, use all available components. 





train(self,
x)
Update the internal structures according to the input data x . 


Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__sizeof__ ,
__subclasshook__




__call__(self,
x,
*args,
**kwargs)
Calling an instance of Node is equivalent to calling
its execute method. 





















_refcast(self,
x)
Helper function to cast arrays to the internal dtype. 







copy(self,
protocol=None)
Return a deep copy of the node. 

















is_training(self)
Return True if the node is in the training phase,
False otherwise. 



save(self,
filename,
protocol=1)
Save a pickled serialization of the node to filename .
If filename is None, return a string. 



set_dtype(self,
t)
Set internal structures' dtype. 





